Results 51 to 60 of about 297,382 (270)
An Improved Gaussian Mixture CKF Algorithm under Non-Gaussian Observation Noise
Discrete Dynamics in Nature and Society, 2016 In order to solve the problems that the weight of Gaussian components of Gaussian mixture filter remains constant during the time update stage, an improved Gaussian Mixture Cubature Kalman Filter (IGMCKF) algorithm is designed by combining a Gaussian ...
Hongjian Wang, Cun Li
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Sliced Wasserstein Distance for Learning Gaussian Mixture Models
, 2017 Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algorithm for estimating the GMM parameters.
Hoffmann, Heiko +2 more
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Dependent Gaussian mixture models for source separation [PDF]
EURASIP Journal on Advances in Signal Processing, 2012 Publication in the conference proceedings of EUSIPCO, Barcelona, Spain ...
Quirós Carretero, Alicia +1 more
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Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma
Advanced Engineering Materials, EarlyView.The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie +4 more
wiley +1 more source
PLoS Computational Biology, 2020 Estimating the latent dynamics underlying biological processes is a central problem in computational biology. State-space models with Gaussian statistics are widely used for estimation of such latent dynamics and have been successfully utilized in the ...
Sina Miran +5 more
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Flexible Mixture Modeling with the Polynomial Gaussian Cluster-Weighted Model [PDF]
, 2012 In the mixture modeling frame, this paper presents the polynomial Gaussian cluster-weighted model (CWM). It extends the linear Gaussian CWM, for bivariate data, in a twofold way.
Punzo, Antonio
core
Continuous Gaussian mixture modeling [PDF]
, 1997 When the projection of a collection of samples onto a subset of basis feature vectors has a Gaussian distribution, those samples have a generalized projective Gaussian distribution (GPGD). GPGDs arise in a variety of medical images as well as some speech recognition problems.
Stephen Aylward, Stephen Pizer
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Advanced Engineering Materials, EarlyView.This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff +9 more
wiley +1 more source
Nonmonotonic Generalization Bias of Gaussian Mixture Models [PDF]
Neural Computation, 2000 Theories of learning and generalization hold that the generalization bias, defined as the difference between the training error and the generalization error, increases on average with the number of adaptive parameters. This article, however, shows that this general tendency is violated for a gaussian mixture model. For temperatures just below the first
Akaho, S., Kappen, H.J.
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Advanced Engineering Materials, EarlyView.The wettability of aluminum droplets (Al) on different copper substrates (Cu), where liquid Al spreads on solid Cu surfaces to form a liquid–solid interface, is studied numerically and experimentally. The experimental and numerical results show good agreement in the fast‐spreading regime.
Shan Lyu +8 more
wiley +1 more source